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DBMS > CrateDB vs. Hawkular Metrics vs. Riak TS vs. YottaDB

System Properties Comparison CrateDB vs. Hawkular Metrics vs. Riak TS vs. YottaDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRiak TS  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDistributed Database based on LuceneHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA fast and solid embedded Key-value store
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Time Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitecratedb.comwww.hawkular.orgyottadb.com
Technical documentationcratedb.com/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.tiot.jp/­riak-docs/­riak/­ts/­latestyottadb.com/­resources/­documentation
DeveloperCrateCommunity supported by Red HatOpen Source, formerly Basho TechnologiesYottaDB, LLC
Initial release2013201420152001
Current release5.8.1, August 20243.0.0, September 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open SourceOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangC
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows
Linux
OS X
Docker
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnorestrictedno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes, limitedby using the Octo plugin
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP RESTHTTP API
Native Erlang Interface
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions (Javascript)noErlang
Triggersnoyes infovia Hawkular Alertingyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelselectable replication factor infobased on Cassandraselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountsnonoUsers and groups based on OS-security mechanisms

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More resources
CrateDBHawkular MetricsRiak TSYottaDB
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